Data Engineer

Location: Dallas, TX 75220

*** Mention DataYoshi when applying ***

Data Engineer

Dallas, TX, USA Req #1156

Thursday, April 1, 2021

At Briggs Equipment, our employees and our culture are just as important to the
company as serving our customers. We believe our employees are the key to our
success. We pride ourselves in hiring the highest quality people, placing
emphasis on safety, ethics, integrity and respect.

We are an ESOP company. And we give thoughtful consideration to making
investments. We realize the decisions we make about investments and operating
practices ultimately affect the lives of our co-workers, families and business
partners. And like those who went before us, every one of us takes that
responsibility seriously.

Our Mission Statement
“Passionate people, powerful solutions, rapidly delivering the equipment and services to
move people and materials.”

Our Vision
Achieving flawless execution of Safety First, Financial Performance, and Dealer
Excellence through the commitment of our employees.

Our Values
  • Integrity
  • Family
  • Fun
  • Success

Simply stated, Briggs employees strive to do the right thing by exceeding the
expectations of each other, our customers and our community.
The Data Engineer will be responsible for designing, developing, implementing and maintaining data workflows between various sources and the Company’s data lakes and data warehouses. Working effectively as a contributing member of the Enterprise Systems team, this role will support various IT data initiatives that stabilize technology operations, streamline business process and improve system reliability and performance. Ensures that all Briggs Equipment standards are adhered to and executed consistent with company direction.

1. Develop automated data workflows through Extract, Transform, Load (ETL) / Extract, Load, Transform (ELT) pipelines using Microsoft Azure
2. Replace existing SQL Server Integration Services (SSIS) packages within the Company’s datacenter using Microsoft Azure Data Factory
3. Design, develop and implement data flows within Microsoft Azure Data Factory
4. Assist with data driven projects through the development of IT infrastructure to include hardware, software, networks, etc.
5. Maintain and provide technical support for the Microsoft Azure Databricks environment
6. Assist in creating data warehouses
7. Actively monitor data quality and accuracy within data workflows
8. Establish and maintain data diagrams and data documentation
9. Create data tools and data storage procedures
10. Design and build Microsoft Azure functions to optimize data extraction
11. Proactively recommend system back-up and restoration strategies ensuring business continuity
12. Monitor and maintain database performance in Cloud / hardware services
13. Perform other related duties as assigned


Basic Knowledge & Competencies:
  • Excellent written and verbal communication skills
  • Strong work ethic, attention to detail, team player, quick learner and self-starter
  • Strong analytical skills, root cause analysis and problem-solving skills
  • Ability to work within remote teams
  • Strong Database Administrator (DBA) skills such as performance tuning, backup/restores, and Transact-SQL (t-sql) performance enhancements
  • Exceptional coding skills
  • Knowledge of Microsoft Structured Query Language (SQL) Reporting, Analysis & Integration Services

Previous Experience/Education:
  • Bachelor’s degree in computer science, computer engineering or equivalent work experience preferred
  • 5+ years’ experience in Data Engineering / DBA experience
  • 3+ years’ experience in Cloud Services such as Azure/AWS/Google
  • 2+ years’ experience in Azure Data Factory to include pipeline creation / data workflows
  • Apache Spark experience preferred
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience with the following programming languages: C#, Python, Powershell preferred
  • Proven ability to learn new technologies quickly to a high level of proficiency

  • Standing, walking, lifting, twisting, and bending on a frequent basis
  • Availability to work 24/7 on-call as needed
  • Ability to lift up to 40 pounds

Other details

  • Pay Type


*** Mention DataYoshi when applying ***

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